IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v63y2025i12p4269-4286.html
   My bibliography  Save this article

A data flow framework to support the selection and integration of digital technologies for smart production

Author

Listed:
  • Natalie Agerskans
  • Mohammad Ashjaei
  • Jessica Bruch
  • Koteshwar Chirumalla

Abstract

With the development towards Industry 5.0, manufacturing companies are developing towards Smart Production – namely, using data as a resource to interconnect the elements in the production system for a more resource-efficient and sustainable production. Selection and integration of digital technologies are crucial steps to ensure that suitable technology is chosen and properly introduced in the production system. However, having one digital technology is not enough; rather there is a need to combine several synergising technologies for smart production. There are many challenges when selecting and integrating a combination of synergising digital technologies for smart production. Therefore, the purpose of this paper is to support manufacturing companies in systematically selecting and integrating suitable digital technologies for efficiently benefiting data value chains for smart production. This paper employed a multiple case study involving manufacturing companies within different industries and of different sizes. The paper analyses the current challenges related to the selection and integration of digital technologies and proposes a data flow framework with possible ways of combining digital technologies. The proposed framework shows alternative data flows between a combination of technologies depending on what digital technologies are selected and how they are integrated.

Suggested Citation

  • Natalie Agerskans & Mohammad Ashjaei & Jessica Bruch & Koteshwar Chirumalla, 2025. "A data flow framework to support the selection and integration of digital technologies for smart production," International Journal of Production Research, Taylor & Francis Journals, vol. 63(12), pages 4269-4286, June.
  • Handle: RePEc:taf:tprsxx:v:63:y:2025:i:12:p:4269-4286
    DOI: 10.1080/00207543.2024.2447931
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2024.2447931
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2024.2447931?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tprsxx:v:63:y:2025:i:12:p:4269-4286. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.